Facility operations and maintenance are defined as the functions, duties, and labor required
daily to operate and preserve a facility asset to ensure its original function is available for its …

In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …

This paper provides an explanatory interface using Local Interpretable Model-agnostic
Explanations (LIME) for a predictive maintenance dataset. The explanations are evaluated …

Predictive Maintenance (PdM) has emerged as a transformative paradigm within industrial
systems, addressing the inherent limitations of traditional reactive maintenance approaches …

The growing competitiveness of the market, coupled with the increase in automation driven
with the advent of Industry 4.0, highlights the importance of maintenance within …

Taking the multi-component perspective in Predictive Maintenance (PdM) is one promising
approach to improve prediction quality. Therefore, detection and modeling of …

In the last years, one of the main challenges in Industry 4.0 concerns maintenance
operations optimization, which has been widely dealt with several predictive maintenance …

Abstract Machine learning (ML)/deep learning (DL) has shown tremendous success in data-
driven predictive maintenance (PdM). However, operators and technicians often require …

The application of Artificial Intelligence (AI) approaches in industrial maintenance for fault
detection and prediction has gained much attention from scholars and practitioners. This …

Predictive maintenance helps organizations to reduce equipment downtime, optimize
maintenance schedules, and enhance operational efficiency. By leveraging machine …